{"id":"W2396005227","doi":"10.1145/2897000.2897004","title":"Psychophysiological observing and analysis tool for user experience","year":2016,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Pipeline (software); Cover (algebra); Extensibility; Data visualization; Psychophysiology; Data science; Artificial intelligence; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000956,0.002052268,0.001045377,0.002958502,0.0004377745,0.00174282,0.001459258,0.001056795,0.02019607],"category_scores_gemma":[0.009365176,0.0005812049,0.001067111,0.001254502,0.0004317152,0.001909478,0.001958166,0.001190098,0.005226914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136159,"about_ca_system_score_gemma":0.0007649277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006846958,"about_ca_topic_score_gemma":0.0007077486,"domain_scores_codex":[0.9987746,0.0003016754,0.0001536042,0.0003232451,0.0003502033,0.00009669012],"domain_scores_gemma":[0.9924822,0.004535571,0.0003710763,0.001153177,0.001039975,0.0004180024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002689332,0.001157641,0.01505306,0.00221514,0.0003406717,0.0009239956,0.003203776,0.003883933,0.2544615,0.007014026,0.04945842,0.6595985],"study_design_scores_gemma":[0.0007603003,0.002790461,0.1341655,0.0009207148,0.0007834226,0.002961338,0.001484836,0.3187926,0.3468438,0.02816913,0.161298,0.001029897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02377762,0.0002493935,0.8388526,0.0002348249,0.0001057997,0.0009689382,0.003583148,0.1292085,0.003019016],"genre_scores_gemma":[0.2465007,0.0003226561,0.7308384,0.0003700761,0.0001042443,0.0035912,0.003401395,0.008649194,0.006222199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02019607,"threshold_uncertainty_score":0.06756264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717465924272798,"score_gpt":0.3646882682580807,"score_spread":0.2929416758308008,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}